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When running Ananse influence, the output does not contain influence scores for all TFs, only for (i gues) differential expressed TFs? Or there seems to be some other cutoff for which TFs the influence score is or isnt calculated. Or is which TF is and isnt plotted dependent on the top 1000 edges being used? I have no clue, but the final choose of which TFs do get a influence score, and which dont isnt very clear.
Especially for time-serie analysis, where a TF might have a huge influence in a certain timepoint, but a lower or almost non-existant influence in another timepoint this is problematic.
Is this TF selection based on if TF their targets are included in the amount of selected edges? Or on RNAseq expression? If there is some kind of cuttoff regarding which TFs do and which dont get a influence score calculated, it would be nice if this could be tweakable as a input.
The text was updated successfully, but these errors were encountered:
When running Ananse influence, the output does not contain influence scores for all TFs, only for (i gues) differential expressed TFs? Or there seems to be some other cutoff for which TFs the influence score is or isnt calculated. Or is which TF is and isnt plotted dependent on the top 1000 edges being used? I have no clue, but the final choose of which TFs do get a influence score, and which dont isnt very clear.
Especially for time-serie analysis, where a TF might have a huge influence in a certain timepoint, but a lower or almost non-existant influence in another timepoint this is problematic.
Is this TF selection based on if TF their targets are included in the amount of selected edges? Or on RNAseq expression? If there is some kind of cuttoff regarding which TFs do and which dont get a influence score calculated, it would be nice if this could be tweakable as a input.
The text was updated successfully, but these errors were encountered: